Provide a cut-down repository containing just our textmate bundle, both
for easy installation in general and so that github's linguist in
particular can pick it up and use it for highlighting Carbon files.
The sync_repos script is automatically run by our github workflow
whenever utils/ changes.
Split out the `prek` tool usage instructions into a separate skill. This
should make the agent more likely to realize the skill is relevant to a
particular task and consult it. Extend the skill to include instructions
for using `prek` in a jj workspace, and add a helper script for that
situation.
Add a `jj` skill, with the main purpose being to instruct the agent to
use `jj` not `git`, and to use `--no-pager` when running it.
Extend the `bazel` tool description slightly to more strongly encourage
agents to read and follow it.
Assisted-by: Gemini via Antigravity
Mostly these errors were around `dict` missing arguments, and they are
almost always `[str, Any]`.
But a real thorn here was `xml.etree.ElementTree.Element`. `ty` insists
that this is a generic type, and indeed it appears to be one, or
becoming one, in some python version. But it is not generic in python
3.12. So we are stuck in an unsolvable land where:
- `ty` gives an error unless you write `[str]` on the type, because it
thinks it is generic.
- python3.12 gives an error if you do write `[str]` on the type, because
it thinks it is not generic.
Forcing `ty` to target exactly python 3.12 does not help. So I have just
used a linter-ignore comment on that line.
This provides a native harness with several advantages over
`pre-commit`:
- Faster when initializing the cache
- Smaller cache sizes: under 43mb compared to over 62mb
- Better integration with `uv` for Python usage
Steps for migrating for existing contributors:
1. Install `prek` following instructions in the updated docs.
2. Replace hooks in an existing checkout with a special flag:
```sh
prek install --overwrite
```
The `--overwrite` flag is what removes the old hooks.
If you used the pre-push variant:
```sh
prek install --hook-type pre-push --overwrite
```
3. Optional cleanups:
```sh
rm -rf ~/.cache/pre-commit # reclaim the old hook-environment cache
pipx uninstall pre-commit # if installed via pipx; or `brew uninstall
pre-commit`
```
Assisted-by: Antigravity with Gemini
Not sure how these got missed when moving other things to `uv`, but this
should clean them up.
The bump to Python 3.12 is so that we can use `@override` with the
simple import from `typing`. This is needed by the newest versions of
`ty` to do type checking. Added the relevant `@override` annotations.
Assisted-by: Antigravity with Gemini
This removes the need to install any specific version of Python or
figure out how to configure it by instead asking users to install `uv`
and letting it manage Python. Among other advantages, `uv` is designed
to be fast enough to embed directly into our scripts.
We were already using this in `bench_runner.py` so that the script could
import non standard library dependencies. Moving to it for the rest of
our Python unifies the approach and will also enable dependencies
whenever needed.
I've left `github_tools` alone as it has special handling with its own
Bazel setup.
I've updated the contributing tools to explain the approach here.
First, this makes the Bazel invocations not try to uses curses which
prevents running them with `pre-commit run ... -v` showing the timings
for each check. The curses display overwrote the output.
Second, this fixes the main slowdown I was seeing. Because we passed
_all_ files to the check-build-graph hook and there are large number of
files, pre-commit would run the tool over and over on a subset of the
files. This is especially wasteful as the build graph check already
doesn't do anything with the files, it just checks `//...` on each
invocation. So this just added a (large) constant factor of cost.
Third, this tries to reduce the cost of `fix_cc_deps.py` in the case of
large numbers of files. This still isn't _super_ fast -- but the rest of
the cost is in running the `bazel query` and parsing the output. I tried
switching it to jsonproto and it wasn't any faster. I think this would
need to be in a non-Python language and use `proto` directly to
significantly improve the cost here.
Assisted-by: Antigravity with Gemini
In particular, bazel builds would previously fail in
`workspace_status.py` if you didn't have a `.git` with this error:
> ```
> ERROR: <builtin>: BazelWorkspaceStatusAction stable-status.txt failed:
Failed to determine workspace status: Process exited with status 1
> fatal: not a git repository (or any of the parent directories): .git
> ```
Assisted-by: Google Antigravity
---------
Co-authored-by: Josh L <josh11b@users.noreply.github.com>
Co-authored-by: Chandler Carruth <chandlerc@gmail.com>
The `split(" ")` function will split two consecutive spaces apart,
giving an empty string in its output. So `dump context inst5` was
mis-parsed to have arguments `["context", "", "inst5"]`. If `split()` is
called with no arguments, it splits on whitespace but ignores
consecutive whitespace, so we correctly parse the args to be
`["context", "inst5"]`.
`dump context facet_type` was an error before since we expected that to
be followed with an id value. While `dump context facet_type 5` still
works, if there's no id value, try to use `facet_type` as a variable
name. This allows us to dump an inst id if it happens to be named
`inst`, etc, without having to use `--` to disambiguate.
This has been working really well for me, is incredibly faster than the
other approach, and some commits continue to hit bugs in the old system
where files that aren't even going to be run through `clangd-tidy` end
up tripping up the execution. Hopefully all of that is resolved with the
new version.
This also switches to a more Bazel-based install layout, skipping the
FHS-based synthetic layout. The FHS-based layout is still reconstructed
explicitly when building an installable tar-ball.
The biggest change is to configure the just-built install as a Bazel
toolchain, including allowing it to build its own runtime libraries as
native Bazel libraries. This removes the need for a monolithic runtimes
build, all of that code logic is removed.
This should also pave the way to using the just-built toolchain for
doing a full 3-stage bootstrap. Building the 2nd stage is included here
as it was a particularly effective way to test that the Bazel
integration was fully working. Adding a 3rd-stage check for stability is
future work, but should be pretty easy.
There is a down-side: this uses the busybox to do the runtimes
compilation, which means they will be re-built after ~any change to
Carbon. However, the integration with Bazel should largely pay for this,
and we can continue to factor the tests away from depending on built
runtimes in most cases.
Now that we're building and testing the runtimes more directly, this
surfaced a problem with the layout of runtimes on macOS that is fixed
here. All of the Darwin OSes use a custom layout for their resource
directory compared to other targets. We now model this in both the C++
built runtimes and the Bazel built runtimes.
Assisted-by: Gemini via Antigravity
Updates the way to access vscode marketplace for publishing. I've
adjusted CarbonInfraBot's attached email to match.
The `#editor-integrations` change is for inconsistent markdown handling
by MS...
https://marketplace.visualstudio.com/items?itemName=carbon-lang.carbon-vscode
looks fine at the moment, but I was seeing rendering as a title -- maybe
a bug that won't be rolled out, but backticks seem fair here.
Assisted-by: Google Antigravity with Gemini
The goal here is to be able to construct a build of the runtimes
directly in Bazel, or by emitting `BUILD` files, or by emitting into C++
code and using that on-demand. For that, we want a single source of
truth, and that source in Starlark.
This should also make the information more generally useful, and so I'm
moving as much as I can into the LLVM Bazel build. Apologies as that
makes the diffs extra annoying.
I do plan on upstreaming the Bazel parts of this, but would like to get
everything working in Carbon and stabilized first.
While here, I've also made a change suggested for the future in the
initial review by lifting the C++ template out of a string literal in
the `.bzl` file, and into an actual separate C++ file.
This only moves libc++, libc++abi, and libunwind. I want to get those
three working end-to-end before I work on the builtins or `crtbegin` and
`crtend`, as those have a bunch of additional complexity.
This also only uses the info in the C++ on-demand build. It seemed like
a reasonable increment to start code review, and my plan is to work on
other build strategies in a follow-up PR. If that doesn't work, let me
know and I'll come back once I have at least a second use of the info
here.
This brings some fixes:
- The handling of `zlib` and `zstd` are much cleaner
- Three of our patches are no longer needed
This also includes the fixes from #6562
It also moves us from `zlib` to `zlib-ng` which is a much better basis
for what we want, and likely makes our toolchain faster when generating
debug info at least.
It fixes another API change in terms of which headers provide the
`createInvocation` we use.
Lastly, it cleans up the deps test to correctly recognize the wrappers
for `zlib-ng` and `zstd`, as well as improving the documentation for why
we allow dependencies on them.
Also consolidate on using `//bazel/cc_rules:defs.bzl` where appropriate.
Also update a couple of Bazel modules deps of `@rules_cc` to the latest
versions.
The dump of a block looks like:
```
(lldb) dump context require_impls_block_id
require_block60000001
- require0: {self_id: inst60000019, facet_type_inst_id: inst6000001D, extend_self: true, parent_scope: name_scope60000002}
```
The dump of an individual RequireImplsId is shown above for `require0`.
This re-adds the ability to put a space between the id type and number.
In particular, when copy/pasting large hex-encoded id numbers that are
retrieved from `p/x`, such as an array of InstIds, putting a space
between allows faster editing. The space allows the previous command to
be reused, and then to delete the id in a single key command.
For example, when developing against a checkout of LLVM, it is useful to
be able to consistently pass an override flag to Bazel for that
repository.
This lets:
```console
bazel test --override_repository=+_repo_rules+llvm-raw=$HOME/src/llvm/llvm-project //toolchain/...
```
and
```console
./scripts/create_compdb.py --extra-bazel-flag=--override_repository=+_repo_rules+llvm-raw=$HOME/src/llvm/llvm-project
```
Share the same Bazel cache and use the same flags.
---------
Co-authored-by: Dana Jansens <danakj@orodu.net>
Adds support to the `dump` debugger command for named constraint ids,
which are printed as `constraint<number>`. While doing so, we print
whether the `constraint` is complete or not, and add the same to
`interface` to match.
And we noticed that the printing of name and name scope ids, which are
not tagged, are very verbose by adding 7 `0`s to them for no reason. So
make the dump output easier to read by dropping 0 prefixes.
Before:
```
name_scope00000000: {inst: inst0000000E, parent_scope: name_scope<none>, has_error: false, extended_scopes: [], names: {name00000000: inst6000000F, name00000001: inst60000011}} {kind: Namespace, arg0: name_scope00000000, arg1: inst<none>, type: type(inst(NamespaceType))} `package`
```
After:
```
name_scope0: {inst: instE, parent_scope: name_scope<none>, has_error: false, extended_scopes: [], names: {name0: inst6000000F, name1: inst60000011}} {kind: Namespace, arg0: name_scope0, arg1: inst<none>, type: type(inst(NamespaceType))} `package`
```
This change makes dumping and debugging work again with InstIds that are
now tagged with the CheckIRId. The textual representation of an InstId
is changed from `irN.instM` back to `instM` but the `M` is now a hex
value with the tag as part of it, which is the same number that is
physically in the `InstId::index` field. This prevents any cases where
we would potentially print incorrect values for large InstIds.
We teach the `dump` command in lldb to parse hex values for InstId so
that we can paste these numbers back into the debugger.
This restores the original approach in #6046 as it appears
`--notool_deps` isn't sufficient in some situations. It still isn't
clear to me why it seemed to work initially, but I can easily reproduce
the issue now even with that flag.
I've tried to address the feedback in the original PR on the Python
code.
We have grown more generation rules, so try to use a regex instead of
listing all of them.
Also, manually add the runfiles C++ library that isn't "generated", but
is symlinked into the source tree only when built.
---------
Co-authored-by: Jon Ross-Perkins <jperkins@google.com>
Currently hitting ^C prints out two stack traces, requiring scrolling up
though multiple screens of scrollback to get back to the autoupdate
results. This primarily shows up when hitting ^C while it's symbolizing
a C++ stack trace.
This is the first step to having Clang's runtime libraries fully
available for the Carbon toolchain. This PR focuses on the lowest level
runtimes, the CRT files and the builtins library.
The goal is to intercept Clang runs where it needs these
target-dependent pieces to be available, and build them on demand using
our Clang-running infrastructure. This avoids most of the subprocess
overhead, but there is still some due to missing features in Clang.
This requires exporting the sources for these runtimes from the Bazel
build, and installing them in our target-independent resource directory.
We then build a simplified "build" of these sources within the
`ClangRunner` itself to produce the specific artifacts and layout
expected by Clang.
It also required fixing our use of Clang on macOS to have a default
system root in order to successfully compile or link.
It also required cleaning up how the `ClangRunner` used target
information more generally -- instead of taking the target as
a constructor parameter, it manages its target internally and relies on
the Clang target-specifying command line flags.
I looked at whether we could split this into another layer separate from
the `ClangRunner`, but that proved frustratingly difficult to manage.
While we support building these on-demand as part of a detected link,
that doesn't seem feasible as we don't have the necessary separation
between compilation runs of Clang and link runs of Clang. However,
I have tried to factor the internals to provide as clear of separation
as I could across these.
I have also created a stand-alone subcommand to directly build the
runtimes which allows for easy testing. It also supports building them
into a specific directory, and that directory can in turn be passed to
a Clang invocation. This is designed to work both at the API level with
`ClangRunner` and at the subcommand level.
Currently, the only part of the commandline that is detected and
forwarded to the runtimes build is the target. Eventually, the plan is
to expand this so that we can build a maximally tailored set of runtimes
for a given compilation.
The other big TODO here is to actually implement caching storage of
these runtimes so they aren't built on every execution. Right now, this
uses a somewhat hack-y build of a temporary directory, but this isn't
expected to be suitable long-term. Building these runtimes on *every*
link makes those commands take approximately 15 seconds with an ASan
build like our default development build, and just over 2 seconds in an
optimized build. Because of this, I've kept all of this disabled by
default for now. The goal is that once caching and some other
improvements land, we can enable this by default.
---------
Co-authored-by: Jon Ross-Perkins <jperkins@google.com>
Co-authored-by: Richard Smith <richard@metafoo.co.uk>
The command is:
```
dump <context> [<ID>|<TYPE><ID>|<TYPE> <ID>|-- <ID>]
TYPE can be "inst", "entity_name", etc.
```
This saves a lot of typing of `SemIR::MakeInstId()` in a debugger, and
allows copy-pasting ids from dump output, as they take the form
`inst33`, etc.
There are some very useful default arguments, so teach the runner script
to directly provide them. They can be easily overridden if needed. As
part of this, change the default run count to 10 which much more often
produces statistically significant error bars and results.
Also, tweak the processing of the results to provide a stable order
based on the source order, even when randomized interleaving is enabled.
The randomized interleaving improves the statistical strength of the
benchmarks significantly, but displaying the results in the source order
is much more understandable. This should give roughly the best of both
worlds.
This script runs benchmarks written using Google Benchmark repeatedly,
and collects the results from JSON to render them nicely and provide
statistical information across the runs.
Because this runs the binaries repeatedly, this can help account for
run-to-run variations that are pervasive in many of Carbon's benchmarks,
such as ASLR and other process-specific differences.
It's most basic mode runs a benchmark multiple times and shows both
median and confidence intervals.
It also supports two comparison modes:
1) Regular expressions can be provided that describe collections of
related benchmarks where one is the "main" benchmark and the others
are comparable. For example, Carbon's data structure vs. data
structures from LLVM or Abseil. These will be rendered with the main
benchmark first, followed by a comparison relative to a "baseline" of
each comparable benchmark.
2) A baseline benchmark binary, and potentially different command line
flags, can be provided to run two benchmark binaries and compute
a comparison for each benchmark within them.
Across all of these, the script works to present the best text UI it can
in the console. I may have gotten a bit obsessed with rendering the
benchmark results in a way that is really pretty. There are lots of
fancy color coding and progress bars, etc., when run in in the terminal.
For the basic mode without any comparisons, the results look like:
```
Computing statistically significant deltas only wherethe P-value < 𝛂 of 0.05
Metric key:
BenchmarkName... <median> ± <% at 95th conf>
Benchmark ┃ CPU Time ┃ bytes_per_second
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━
BM_LatencyHash<RandValues<uint8_t>, CarbonHashBench>. │ 3.051 ns ± 2.721% │ 327.8 M ± 2.765%
BM_LatencyHash<RandValues<uint8_t>, AbseilHashBench>. │ 3.395 ns ± 4.377% │ 294.6 M ± 4.572%
BM_LatencyHash<RandValues<uint8_t>, LLVMHashBench>... │ 6.125 ns ± 2.662% │ 163.3 M ± 2.726%
BM_LatencyHash<RandValues<uint16_t>, CarbonHashBench> │ 3.105 ns ± 3.947% │ 644.1 M ± 4.109%
BM_LatencyHash<RandValues<uint16_t>, AbseilHashBench> │ 3.433 ns ± 4.308% │ 582.6 M ± 4.502%
BM_LatencyHash<RandValues<uint16_t>, LLVMHashBench>.. │ 6.127 ns ± 2.540% │ 326.5 M ± 2.587%
BM_LatencyHash<RandValues<uint32_t>, CarbonHashBench> │ 3.082 ns ± 2.846% │ 1.298 G ± 2.923%
BM_LatencyHash<RandValues<uint32_t>, AbseilHashBench> │ 3.401 ns ± 3.611% │ 1.176 G ± 3.739%
BM_LatencyHash<RandValues<uint32_t>, LLVMHashBench>.. │ 6.209 ns ± 4.064% │ 644.3 M ± 4.236%
BM_LatencyHash<RandValues<uint64_t>, CarbonHashBench> │ 3.122 ns ± 2.871% │ 2.563 G ± 2.956%
BM_LatencyHash<RandValues<uint64_t>, AbseilHashBench> │ 3.426 ns ± 2.811% │ 2.335 G ± 2.892%
BM_LatencyHash<RandValues<uint64_t>, LLVMHashBench>.. │ 6.497 ns ± 3.081% │ 1.231 G ± 3.179%
```
For the first comparison mode on one of Carbon's benchmarks, the results
look like:
```
Computing statistically significant deltas only wherethe P-value < 𝛂 of 0.05
Metric key:
BenchmarkName... <median> ± <% at 95th conf>
vs Comparable: 👍 <delta> p=<U-test P-value>
<median> ± <% at 95th conf>
Benchmark ┃ CPU Time ┃ bytes_per_second
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━
BM_LatencyHash<RandValues<uint8_t>, CarbonHashBench>. │ 3.037 ns ± 1.781% │ 329.2 M ± 1.813%
vs Abseil: │ 👍 -8.200% p=0.000183 │ 👍 8.933% p=0.000183
│ 3.309 ns ± 2.064% │ 302.2 M ± 2.022%
vs LLVM: │ 👍 -49.401% p=0.000183 │ 👍 97.632% p=0.000183
│ 6.003 ns ± 1.502% │ 166.6 M ± 1.480%
│ │
BM_LatencyHash<RandValues<uint16_t>, CarbonHashBench> │ 3.026 ns ± 1.816% │ 661 M ± 1.784%
vs Abseil: │ 👍 -8.599% p=0.000183 │ 👍 9.408% p=0.000183
│ 3.311 ns ± 1.873% │ 604.1 M ± 1.839%
vs LLVM: │ 👍 -49.829% p=0.000183 │ 👍 99.319% p=0.000183
│ 6.031 ns ± 2.806% │ 331.6 M ± 2.730%
│ │
BM_LatencyHash<RandValues<uint32_t>, CarbonHashBench> │ 3.017 ns ± 2.696% │ 1.326 G ± 2.625%
vs Abseil: │ 👍 -9.754% p=0.000183 │ 👍 10.808% p=0.000183
│ 3.344 ns ± 1.537% │ 1.196 G ± 1.514%
vs LLVM: │ 👍 -49.857% p=0.000183 │ 👍 99.427% p=0.000183
│ 6.018 ns ± 3.269% │ 664.7 M ± 3.167%
│ │
BM_LatencyHash<RandValues<uint64_t>, CarbonHashBench> │ 3.025 ns ± 3.395% │ 2.644 G ± 3.284%
vs Abseil: │ 👍 -9.812% p=0.000183 │ 👍 10.879% p=0.000183
│ 3.354 ns ± 2.640% │ 2.385 G ± 2.572%
vs LLVM: │ 👍 0.476x p=0.000183 │ 👍 2.101x p=0.000183
│ 6.357 ns ± 2.477% │ 1.258 G ± 2.418%
│ │
```
For the second mode, in this case comparing a baseline build with `-Oz`
vs an experiment with `-Os`, the results look like:
```
Computing statistically significant deltas only wherethe P-value < 𝛂 of 0.05
Metric key:
BenchmarkName... 👍 <delta> p=<U-test P-value>
baseline: <median> ± <% at 95th conf>
experiment: <median> ± <% at 95th conf>
Benchmark ┃ CPU Time ┃ bytes_per_second
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━
BM_LatencyHash<RandValues<std::pair<uint32_t, uint32_t>>, CarbonHashBench> │ 👍 -35.870% p=0.000557 │ 👍 55.930% p=0.000557
baseline: │ 5.704 ns ± 1.877% │ 1.403 G ± 1.911%
experiment: │ 3.658 ns ± 4.209% │ 2.187 G ± 4.039%
│ │
BM_LatencyHash<RandValues<std::pair<uint32_t, uint64_t>>, CarbonHashBench> │ 👍 -19.475% p=0.00119 │ 👍 24.186% p=0.00119
baseline: │ 4.974 ns ± 3.029% │ 3.217 G ± 3.124%
experiment: │ 4.005 ns ± 4.297% │ 3.995 G ± 4.120%
│ │
BM_LatencyHash<RandValues<std::pair<uint32_t, int*>>, CarbonHashBench>.... │ 👍 -11.740% p=0.00153 │ 👍 13.302% p=0.00153
baseline: │ 4.634 ns ± 3.433% │ 3.453 G ± 3.555%
experiment: │ 4.09 ns ± 2.999% │ 3.912 G ± 2.911%
│ │
```
The script itself uses a new tool for managing dependencies called `uv`:
https://docs.astral.sh/uv/ This tool allows for the script to contain an
inline set of dependencies that will be installed and cached for
subsequent runs. This seemed particularly important as dependencies like
SciPy and NumPy can be particularly difficult to manager or keep
installed in other ways, but are essential to this scripts statistical
analysis. So far, the `uv` system has been working remarkably well for
me and been a relatively pleasant experience on the whole.
I have included as much of the Python dependencies as have good type
information into the MyPy configuration to get good type checking in
pre-commit however.
Last but not least, this has been a pet project of mine for a quite a
while and so may be a bit rough around the edges as I added and tweaked
functionality based on specific benchmarks I was looking at. It feels
like its gotten useful enough to contribute somewhere, but totally open
to any refactoring or improvements needed. I tried to take a few passes
over it to organize and document the code before sending it, but I'm
sure there are still some things that could use improvement.
---------
Co-authored-by: Dana Jansens <danakj@orodu.net>
#5445 updates to bazel 8.2.1, this does more updates (including to
buildifier, which does autofixes like the `sh_test` loads in the other
PR).
Note I'm using the latest available clang-format wheel. That's not
really something I expect people to have installed, but should mostly be
consistent. I'm specifically skipping clang-format 18 because it had
some broad regressions, and 19 got really confused by a `requires` on a
trailing return. Using the latest seemed probably okay since most people
won't see the difference. Do note that trailing returns in macros,
https://github.com/llvm/llvm-project/issues/47664, seems to be cropping
up again as an issue.
Trying to improve resilience against failures such as:
```
INFO: Repository rules_jvm_external+ instantiated at:
<builtin>: in <toplevel>
Repository rule http_archive defined at:
/home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/bazel_tools/tools/build_defs/repo/http.bzl:392:31: in <toplevel>
ERROR: /home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/bazel_tools/tools/build_defs/repo/http.bzl:137:45: An error occurred during the fetch of repository 'rules_jvm_external+':
Traceback (most recent call last):
File "/home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/bazel_tools/tools/build_defs/repo/http.bzl", line 137, column 45, in _http_archive_impl
download_info = ctx.download_and_extract(
```
https://github.com/carbon-language/carbon-lang/actions/runs/14719625211/job/41311145495?pr=5379
It looks like GitHub currently has a high rate of these, which it
shouldn't, but also maybe we can do a little more to weather these
service issues.
To show flag behavior:
```
╚╡./scripts/run_bazel.py --attempts=5 --retry-all-errors :foo
Command ':foo' not found. Try 'bazel help'.
Retrying exit code 2 because it may be transient...
Command ':foo' not found. Try 'bazel help'.
Retrying exit code 2 because it may be transient...
Command ':foo' not found. Try 'bazel help'.
Retrying exit code 2 because it may be transient...
Command ':foo' not found. Try 'bazel help'.
Retrying exit code 2 because it may be transient...
Command ':foo' not found. Try 'bazel help'.
╚╡./scripts/run_bazel.py --attempts=5 --retry-all-errors query //... | wc -l
INFO: Invocation ID: ffdf9480-0245-442d-885f-ee91a3d86b68
Loading: 0 packages loaded
367
╚╡./scripts/run_bazel.py --attempts=5 :foo
Command ':foo' not found. Try 'bazel help'.
```
On the last run, [test (ubuntu-22.04,
opt)](https://github.com/carbon-language/carbon-lang/actions/runs/14737410033/job/41366888473?pr=5386)
has an example of this working:
```
INFO: Invocation ID: 3f276297-6dc5-4007-a333-dcadd4db55f4
no actions running
no actions running
no actions running
no actions running
no actions running
no actions running
no actions running
no actions running
no actions running
WARNING: Download from https://github.com/bazelbuild/bazel-skylib/releases/download/1.7.1/bazel-skylib-1.7.1.tar.gz failed: class java.io.IOException GET returned 618 jwt:jwt-not-provided
INFO: Repository bazel_skylib+ instantiated at:
<builtin>: in <toplevel>
Repository rule http_archive defined at:
/home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/bazel_tools/tools/build_defs/repo/http.bzl:392:31: in <toplevel>
ERROR: /home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/bazel_tools/tools/build_defs/repo/http.bzl:137:45: An error occurred during the fetch of repository 'bazel_skylib+':
Traceback (most recent call last):
File "/home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/bazel_tools/tools/build_defs/repo/http.bzl", line 137, column 45, in _http_archive_impl
download_info = ctx.download_and_extract(
Error in download_and_extract: java.io.IOException: Error downloading [https://github.com/bazelbuild/bazel-skylib/releases/download/1.7.1/bazel-skylib-1.7.1.tar.gz] to /home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/bazel_skylib+/temp62784[869](https://github.com/carbon-language/carbon-lang/actions/runs/14737410033/job/41366888473?pr=5386#step:5:887)09382546624/bazel-skylib-1.7.1.tar.gz: GET returned 618 jwt:jwt-not-provided
no actions running
no actions running
ERROR: Error loading '@@rules_python+//python/extensions:python.bzl' for module extensions, requested by /home/runner/work/carbon-lang/carbon-lang/MODULE.bazel:147:23: at /home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/rules_python+/python/extensions/python.bzl:48:6: at /home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/rules_python+/python/private/python.bzl:17:6: at /home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/bazel_features+/features.bzl:3:6: Encountered error while reading extension file 'globals.bzl': no such package '@@bazel_features++version_extension+bazel_features_globals//': no such package '@@bazel_skylib+//lib': java.io.IOException: Error downloading [https://github.com/bazelbuild/bazel-skylib/releases/download/1.7.1/bazel-skylib-1.7.1.tar.gz] to /home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/bazel_skylib+/temp6278486909382546624/bazel-skylib-1.7.1.tar.gz: GET re
ERROR: Error loading '@@rules_cc+//cc:extensions.bzl' for module extensions, requested by https://bcr.bazel.build/modules/rules_cc/0.1.1/MODULE.bazel:12:29: at /home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/rules_cc+/cc/extensions.bzl:16:6: at /home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/bazel_features+/features.bzl:3:6: Encountered error while reading extension file 'globals.bzl': no such package '@@bazel_features++version_extension+bazel_features_globals//': no such package '@@bazel_skylib+//lib': java.io.IOException: Error downloading [https://github.com/bazelbuild/bazel-skylib/releases/download/1.7.1/bazel-skylib-1.7.1.tar.gz] to /home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/bazel_skylib+/temp6278486909382546624/bazel-skylib-1.7.1.tar.gz: GET returned 618 jwt:jwt-not-provided: at /home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/rules_cc+/cc/extensions.bzl:16:6: at /h
ERROR: Error loading '@@rules_python+//python/extensions:python.bzl' for module extensions, requested by /home/runner/work/carbon-lang/carbon-lang/MODULE.bazel:147:23: at /home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/rules_python+/python/extensions/python.bzl:48:6: at /home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/rules_python+/python/private/python.bzl:17:6: at /home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/bazel_features+/features.bzl:3:6: Encountered error while reading extension file 'globals.bzl': no such package '@@bazel_features++version_extension+bazel_features_globals//': no such package '@@bazel_skylib+//lib': java.io.IOException: Error downloading [https://github.com/bazelbuild/bazel-skylib/releases/download/1.7.1/bazel-skylib-1.7.1.tar.gz] to /home/runner/.cache/bazel/_bazel_runner/8f839eaeb716f9d034eabdfa7ebecdb0/external/bazel_skylib+/temp6278486909382546624/bazel-skylib-1.7.1.tar.gz: GET re
INFO: Invocation ID: e2062912-715f-47ec-a0bc-9d1b4fee9e5d
no actions running
no actions running
no actions running
no actions running
no actions running
no actions running
<root> (carbon@_)
Retrying a failure because it may be transient...
INFO: Invocation ID: 7d4ee250-882f-480d-9c8d-2d92e67462fc
Loading: 0 packages loaded
367
```
The docs explain that you must use `--local-lldbinit` in the command
line, and include an example of how to run a file_test under lldb from
the command line.
This PR includes `.lldbinit` file and `lldbinit.py` file which set up
our default options, copied from the VSCode launcher.
The instructions include settin the `max-string-summary-length`, and we
include this in the vscode launcher for lldb, as printing `Dump()`
output can easily get truncated otherwise when printing an InstBlockId.
Richard Smith
Geoff Romer
Dana Jansens
Chandler Carruth
Jon Ross-Perkins
David BlaikieandJon Ross-Perkins